VP – Applied AI Architect - Process Re-engineering CoE

Overview

Lead the design and delivery of applied AI and automation solutions for process re-engineering within M&G's Centre of Excellence, combining architecture, AI engineering and controls for insurance, asset-management and finance processes.

What you'll do

• Decompose complex insurance, asset-management and finance processes and identify deterministic, AI-assisted and human-controlled steps.
• Produce current-state and target-state architectures, architecture decision records and non-functional requirements for automation and AI solutions.
• Select the appropriate automation mechanism for each problem (rules engine, workflow, RPA, traditional ML, LLM, RAG or human decision) and justify the choice.
• Design and build AI solutions using enterprise Copilot capabilities and direct API calls to the leading LLM providers, with a provider-independent abstraction layer.
• Engineer secure, permission-aware retrieval (RAG) over enterprise knowledge, preserving source-system permissions and information barriers.
• Integrate solutions with systems of record, including recordkeeping platforms, Salesforce and Oracle Fusion, via APIs, events and controlled RPA where APIs are unavailable.
• Design bounded-autonomy agentic workflows in which a deterministic orchestrator owns process state, approvals, audit and compensation.
• Establish AI evaluation frameworks (golden datasets, groundedness, hallucination and regression testing) linked to business KPIs.
• Embed responsible-AI, security and financial-services controls: segregation of duties, maker-checker, materiality thresholds, explainability and evidence retention.
• Stand up LLMOps/MLOps (versioning, monitoring, cost/FinOps controls, fallback routing and incident management) for production operation.
• Baseline processes and prove value realisation using BI, analytics and process mining.

Details

• Location: Mumbai, India.